On The Validation of LES Applied to Internal Combustion Engine Flows: Part 1: Comprehensive Experimental Database
On The Validation of LES Applied to Internal Combustion Engine Flows: Part 1: Comprehensive Experimental Database
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DOI：
10.1007/s10494-013-9468-6
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发表时间：
2014-01-01
影响因子：
2.4
通讯作者：
Dreizler, A.
中科院分区：
文献类型：
--
作者：
Baum, E.;Peterson, B.;Dreizler, A.
提高对缸内流动的理解需要从分辨良好的实验测速测量和流动模拟建模中获得知识。使用大涡模拟（LES）的发动机模拟正在取得很大的进展，并需要有据可查的测速测量模型验证是高的。这项工作提出了测速测量PIV，高速PIV，立体PIV，和层析PIV广泛地描述在一个motored光学发动机运行在800 RPM的缸内流场。这些测量还建立了一个全面的数据库，旨在LES模型的开发和验证。详细的发动机，发动机附属部件，以及良好的控制边界条件和发动机操作。流场的前两个统计矩的计算和PIV数据库之间显示出良好的协议。基于有限样本量的统计矩分析是重要的建模验证的目的。高速PIV解析了整个发动机循环（即719个连续曲柄角）的瞬时流场，而层析PIV图像进一步用于研究3D流场，并识别由Q准则识别的强涡流结构区域。主要的速度梯度分量计算，并强调需要解决类似的空间尺度之间的实验和建模工作，适当的模型验证。
Improved understanding of in-cylinder flows requires knowledge from well-resolved experimental velocimetry measurements and flow simulation modeling. Engine simulations using large eddy simulations (LES) are making large progress and the need for well documented velocimetry measurements for model validation is high. This work presents velocimetry measurements from PIV, high-speed PIV, stereoscopic PIV, and tomographic PIV to extensively describe the in-cylinder flow field in a motored optical engine operating at 800 RPM. These measurements also establish a comprehensive database designed for LES model development and validation. Details of the engine, engine accessory components, and well-controlled boundary conditions and engine operation are presented. The first two statistical moments of the flow field are computed and show excellent agreement among the PIV database. Analysis of statistical moments based on limited sample size is presented and is important for modeling validation purposes. High-speed PIV resolved the instantaneous flow field throughout entire engine cycles (i.e. 719 consecutive crank-angles), while tomographic PIV images are further used to investigate the 3D flow field and identify regions of strong vortical structures identified by the Q-criterion. Principle velocity gradient components are computed and emphasize the need to resolve similar spatial scales between experimental and modeling efforts for suitable model validation.